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Homework 01

Here’s the first homework. The first problem is an implementation of k-nearest neighbors, applied to digit and spam classification. The second explores the curse of dimensionality via two simple...

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Homework 02

The second homework is posted. The first problem is an exercise in using cross-validation to select the best-fit polynomial for some synthetic data where both the degree and coefficients are unknown....

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Final Project

Here are details for the final project. The main objective is to apply techniques we’ve discussed in class to real-world data. You may either use a pre-compiled data set or build your own data set...

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